A Hybrid Expert System for Predicting and Controlling Traffic Crashes in Residential Areas

Key Points

• Predictive modeling identifies potential traffic crash hotspots, indicating areas at greater risk.
• Key evidence shows a reduction in traffic crashes by 30% in tested residential neighborhoods.
• Analysis of traffic incident data and risk assessment models helps to formulate effective control strategies.
• Highlights the need for further validation in diverse urban settings to enhance model accuracy.